Method for automating transfer of plants within an agricultural facility

ABSTRACT

One variation of a method for automating transfer of plants within an agricultural facility includes: dispatching a loader to autonomously deliver a first module—defining a first array of plant slots at a first density and loaded with a first set of plants at a first growth stage—from a first grow location within an agricultural facility to a transfer station within the agricultural facility; dispatching the loader to autonomously deliver a second module—defining a second array of plant slots at a second density less than the first density and empty of plants—to the transfer station; recording a module-level optical scan of the first module; extracting a viability parameter of the first set of plants from features detected in the module-level optical scan; and if the viability parameter falls outside of a target viability range, rejecting transfer of the first set of plants from the first module.

CROSS-REFERENCE TO RELATED APPLICATIONS

This application is a continuation of U.S. patent application Ser. No.16/260,042, filed on 28 Jan. 2019, which is a continuation of U.S.patent application Ser. No. 15/852,749, filed on 22 Dec. 2017, whichclaims the benefit of U.S. Provisional Application No. 62/437,822, filedon 22 Dec. 2016, each of which is incorporated in its entirety by thisreference.

TECHNICAL FIELD

This invention relates generally to the field of agricultural implementsand more specifically to a new and useful method for automating transferof plants within an agricultural facility in the field of agriculturalimplements.

BRIEF DESCRIPTION OF THE FIGURES

FIG. 1 is a flowchart representation of a method and a system;

FIGS. 2A and 2B are flowchart representations of one variation of themethod;

FIG. 3 is one variation of the system; and

FIG. 4 is one variation of the system.

DESCRIPTION OF THE EMBODIMENTS

The following description of embodiments of the invention is notintended to limit the invention to these embodiments but rather toenable a person skilled in the art to make and use this invention.Variations, configurations, implementations, example implementations,and examples described herein are optional and are not exclusive to thevariations, configurations, implementations, example implementations,and examples they describe. The invention described herein can includeany and all permutations of these variations, configurations,implementations, example implementations, and examples.

1. Method

As shown in FIG. 1, a method S100 for automating transfer of plantswithin an agricultural facility includes: dispatching a loader toautonomously deliver a first module from a first grow location within anagricultural facility to a transfer station within the agriculturalfacility in Block S110, wherein the first module defines a first arrayof plant slots at a first density and loaded with a first set of plantsat a first growth stage; dispatching the loader to autonomously delivera second module to the transfer station, wherein the second moduledefines a second array of plant slots at a second density less than thefirst density and empty of plants in Block S112; recording amodule-level optical scan of the first module in Block S120; extractinga viability parameter of the first set of plants from features detectedin the module-level optical scan in Block S122; and, in response to theviability parameter falling outside of a target viability range,rejecting transfer of the first set of plants from the first module inBlock S130. The method S100 also includes, in response to the viabilityparameter falling within the target range: triggering a roboticmanipulator at the transfer station to sequentially transfer a firstsubset of the first set of plants from the first module into the secondarray of plant slots in the second module in Block S140; dispatching theloader to autonomously deliver a third module to the transfer station,the third module defining a third array of plant slots at the seconddensity in Block S113; and, in response to filling each plant slot inthe second array of plant slots in the second module with the firstsubset of plants, triggering the robotic manipulator to sequentiallytransfer a second subset of the first set of plants from the firstmodule into the third array of plant slots in the third module in BlockS140.

As shown in FIGS. 2A and 2B, one variation of the method S100 includes:dispatching a loader to autonomously deliver a first module from a firstgrow location within an agricultural facility to a transfer stationwithin the agricultural facility in Block S110, wherein the first moduledefines a first array of plant slots at a first density and loaded witha first set of plants at a first growth stage; dispatching the loader toautonomously deliver a second module to the transfer station in BlockS112, wherein the second module defines a second array of plant slots ata second density less than the first density and empty of plants; at thetransfer station, detecting a first optical fiducial on the firstmodule, registering locations of the first array of plant slots in thefirst module at the transfer station based on the first opticalfiducial, detecting a second optical fiducial on the second module,registering locations of the second array of plant slots in the secondmodule at the transfer station based on the second optical fiducial, andnavigating an end effector at the transfer station to engage a firstplant, in the first set of plants, arranged in a first plant slot in thefirst array of plant slots in the first module in Block S140. Thisvariation of the method S100 also includes: recording a first opticalscan of the first plant in Block S160; extracting a first viabilityparameter of the first plant from the first optical scan in Block S162;in response to the first viability parameter exceeding a target value,transferring the first plant into a last plant slot in the second arrayof plant slots in the second module in Block S170; navigating the endeffector to engage a second plant, in the first set of plants, arrangedin a second plant slot in the first array of plant slots in the firstmodule in Block S140, the second plant slot adjacent the first plantslot and exposed to the end effector by removal of the first plant;recording a second optical scan of the second plant in Block S160;extracting a second viability parameter of the second plant from thesecond optical scan in Block S162; and, in response to the target valueexceeding the second viability parameter, withholding the second plantfrom the second module in Block S172.

Another variation of the method S100 includes: receiving a first moduledefining a first array of plant slots of a first density in Block S110,the first array of plant slots loaded with a group of plants in a firstgrowth stage; recording an optical scan of the first module in BlockS120; extracting a viability parameter of plants in the group of plantsfrom the optical scan in Block S122; and, in response to the viabilityparameter falling below a target value, rejecting the first module inBlock S130. The method S100 also includes, in response to the viabilityparameter exceeding the target value: navigating an end effector at anend of a robotic manipulator laterally toward a first plant, in thegroup of plants, arranged in a first plant slot in the first array ofplant slots in Block S140; navigating the end effector vertically from afirst plant slot to extract the first plant from the first plant slot inBlock S140; measuring a first weight of the first plant in Block S150;and, in response to the first weight of the first plant falling below athreshold weight, discarding the first plant in Block S172. The methodS100 further includes, in response to the first weight of the firstplant exceeding the threshold weight: navigating the end effector over alast plant slot in a second array of plant slots in a second module inBlock S170, the second array of plant slots of a second density lessthan the first density; lowering the end effector toward the secondmodule to insert the first plant into the last plant slot in the secondarray of plant slots in the second module in Block S170; and navigatingthe end effector laterally to a second plant in a second plant slot inthe first array of plant slots, adjacent the first plant slot, in thefirst module.

2. Applications

Generally, Blocks of the method S100 can be executed or controlled by acontroller 104 (or other computer system) in conjunction with agreenhouse or other agricultural facility (hereinafter the “facility”)to automatically visually inspect plants in a first module configured tohold plants in a first density and to automatically transfer theseplants into a second module configured to hold plants in a lowerdensity—which may provide these plants greater access to light above,nutrients below, and room to grow outwardly than the first module—ifthese plants pass automated size and pest inspections. In particular,Blocks of the method S100 can be executed by a system, such asincluding: a local or remote controller 104, such as a remote server; arobotic manipulator connected to the controller 104, located at atransfer station within the facility, and outfitted with a camera,scale, and/or end effector configured to retrieve plants from modules;and/or an automated “loader” connected to the controller 104 andconfigured to retrieve modules from grow areas throughout the facility,to deliver modules to the transfer station, and to return modules totheir assigned locations throughout the facility.

In particular, plants may be grown in modules arranged throughout thefacility, wherein each module defines an array of plant slots configuredto hold one plant (or a “bunch” of like plants, such as multiple basilplants) at a density suited to a stage of plant grown in the module.Young plants may have relatively small leaves covering a relativelysmall area such that these young plants require only a small growvolume; as these plants mature (e.g., to a “sprout” stage or through“thinning” and “rosette” stages), their leaves may grow to cover agreater area, thereby requiring a larger grow volume; as these plantsmature further (e.g., through “early-heading,” “mid-heading” and“mature-heading” stages), their leaves may develop more fully and thuscover a greater area up until a time that these plants are harvested,thereby necessitating an even larger grow volume. In order to maintain arelatively high throughput per floor area within the facility, thefacility can be outfitted with modules of different types—that is,modules with different plant slot densities suited to various stages ofplant growth and therefore to various size ranges of plants from seedingto harvest. For example, the facility can be outfitted with: seedingtrays (or “seeding modules”) defining a highest density of plant slots(e.g., 640 plant slots per 4-foot by 12-foot module) and configured tohold plants during a seeding stage; modules of a first type (hereafter a“nursery-type”) defining a moderate density of plant slots (e.g., 170plant slots per 4-foot by 12-foot module) and configured to hold plantsduring a sprout stage; and modules of a second type (hereinafter a“finishing-type”) defining a lowest density of plant slots (e.g., 40plant slots per 4-foot by 12-foot module) and configured to hold plantsduring a finishing stage and up to harvest. By placing young plantsfirst in modules with greatest plant slot densities and then transitingthese plants to modules characterized by lower and lower plant slotdensities as the plants increase in size and maturity, the facility canhouse and grow more plants per module on average and therefore achievegreater space efficiency (i.e., a number of plants per floor area withinthe facility).

The system 100 can thus function to automatically transfer plants frommodules of higher plant slot densities to modules of lower plant slotdensities as these plants mature. For example, the system 100 canautomatically: transfer sprouts from a seeding tray—containing plantslots at a first density suitable for plants of this type up to a sproutstage—into a first module of the nursery-type containing plant slots ata second density suitable for plants of this type up to an early-headingstage; later transfer early-heading plants from the first module to asecond module of the finishing-type containing plant slots at a thirddensity suitable for plants of this type up to a fully-matured stage;and finally remove fully-matured plants from the second module forprocessing, packaging, and distribution from the facility.

Furthermore, because removal of plants from a module may be obstructedby leaves of these plants as the plants approach a growth stagenecessitating transfer to another module of lower plant slot density,the system 100 can capture an optical scan (e.g., a photographic image)of a first module and analyze this optical scan for visual indicators ofplant size (e.g., width, height) and/or quality (e.g., color) to confirmthat these plants meet various size and/or quality targets. If at leasta threshold proportion of plants in the first module exceed thesetargets, the system 100 (e.g., the robotic manipulator) canautomatically transfer plants in the first module in sequence: from afirst plant slot in the first module best accessible to the roboticmanipulator when the first module is full; to a second plant slot in thefirst module best accessible to the robotic manipulator once the firstplant slot is cleared; . . . to a last plant slot in the first moduleaccessible to the robotic manipulator once a second-to-last plant slotin the first module is cleared. Once a plant is removed from the firstmodule, the system 100 (e.g., the robotic manipulator) can also measurea weight of the plant to confirm that the plant passes a weight targetbefore transferring the plant to the second module. However: if theoptical scan indicates that less than a threshold proportion of plantsin the first module exceed the size target, the system 100 can returnthe first module to a grow area in the facility for further maturationof these plants; if the optical scan indicates that more than athreshold proportion of plants in the first module fall below a qualitytarget, the system 100 can discard plants in the first module; and if aweight measurement of a plant falls below a target weight, the system100 can either discard the plant or transfer the plant to a third moduleof the same type as the first module and then return the third module toa grow area in the facility for further maturation of this and otherunderweight plants from the first module.

The system 100 (e.g., the controller 104, the robotic manipulator, andthe loader) can therefore retrieve modules; visually inspect plants inthese modules for growth deficiencies, growth abnormalities, and/orpests; clear plants that meet a visual growth target for transfer intonext modules characterized by lower plant slot densities; check weightsof plants; and automatically transfer plants into next modules, discardselect plants, discard whole groups of plants in a module, and/or returnwhole modules for further maturation of their content based on visualdata and/or weight data automatically collected from the plants.

3. System

As described above and shown in FIGS. 3 and 4, Blocks of the method S100can be executed by a system 100 including: a local or remote controller104, such as a remote server; a robotic manipulator 150 (e.g., a roboticarm) connected to the controller 104, located at a transfer station 140within the facility 102, and outfitted with a camera, scale, and/or endeffector 154 configured to retrieve plants from modules; and/or anautomated loader 130 connected to the controller 104 and configured toretrieve modules from grow areas throughout the facility 102, to delivermodules to the transfer station 140, and to return modules to theirassigned locations throughout the facility 102.

For example, the system 100 can include: a first module 110 assigned toa first grow location within an agricultural facility 102, defining afirst array of plant slots 111 at a first density, and loaded with afirst set of plants across the first array of plant slots 111; a secondmodule 120 defining a second array of plant slots 121 at a seconddensity less than the first density; a third module 122 defining a thirdarray of plant slots 123 at the second density; and a transfer station140 arranged inside the agricultural facility 102. The system 100 canalso include a loader 130 configured to: autonomously navigatethroughout the agricultural facility 102, autonomously deliver the firstmodule 110 from the first grow location to the transfer station 140,autonomously deliver the second module 120 to adjacent the first module110 at the transfer station 140, and autonomously deliver the thirdmodule 122 to adjacent the first module 110 in replacement of the secondmodule 120 at the transfer station 140. The system 100 can furtherinclude a robotic manipulator 150 arranged at the transfer station 140,including an optical sensor 152 proximal the end effector 154, andconfigured to: engage a first plant, in the first set of plants,occupying a first plant slot in the first array of plant slots 111 inthe first module 110; insert the first plant into a last slot in thesecond set of slots in the second module 120 in response to a viabilityparameter of the first plant exceeding a threshold value; withhold thefirst plant from the second module 120 in response to the thresholdvalue exceeding the viability parameter of the first plant; sequentiallytransfer a first subset of plants from the first module 110 to thesecond array of plant slots 121 in the second module 120, the firstsubset of plants including the first plants; and sequentially transfer asecond subset of plants from the first module 110 to the third array ofplant slots 123 in the third module 122 in response to filling thesecond set of plants slots in the second module 120, the second subsetof plants succeeding the first subset of plants in the first module 110.

The system 100 can further include a controller 104 configured toprocess data recorded throughout the system 100 and to manage variousactions by elements within the system 100. For example, the roboticmanipulator 150 can be configured to record a first image of the firstplant arranged in the first slot in the first module 110 as the endeffector 154 approaches the first plant, as described below; and thecontroller 104 can extract a viability parameter of the first plant fromthis first image and selectively trigger the robotic manipulator 150 toinsert the first plant into the second module 120 or to discard thefirst plant into a discard bin based on a difference between the firstviability parameter of the first plant and a target viability range.

3.1 Module

Each module in the system 100 is configured to house a group of plantsthroughout a segment of the growth cycle of these plants (e.g., fourweeks of a twelve-week grow-period). Each module can define a standardsize (e.g., four feet in width by eight feet in length by four feet inheight; two meters in width by five meters in length by one meter inheight) and can include a number of plant slots matched to the segmentof plant growth cycle associated with the module. For example: aseeding-type module can include 192 plant slots; a nursing-type modulecan include 48 plant slots (i.e., one-quarter as many as seeding-typemodules); and a finishing-type module can include twelve plant slots(i.e., one-quarter as many as nursing-type modules); as shown in FIG. 4,despite these modules defining the same overall size and geometry.

In one implementation, a module includes: a set of hydroponic trays (orhydroponic tubes), each defining a (linear) array of plant slots,wherein each plant slot is configured to receive and retain one plant(or one cluster of multiple plants); a carriage or frame supporting theset of hydroponic trays at an angle, such as declining 5° fromhorizontal; a reservoir fluidly coupled to the set of hydroponic traysand configured to collect water flowing out of the hydroponic trays; anda pump configured to cycle water from the reservoir back through the setof hydroponic trays. The module can additionally or alternatively beconfigured to transiently connect to a water supply line and to a waterreturn line in the facility 102, which can provide a constant supply ofwater and nutrients to plants in this module. In this implementation,the module can also include: one optical fiducial 114 at the front ofeach hydroponic tray; optical fiducials 114 at each end of eachhydroponic tray; one optical fiducial 114 adjacent each plant slot alongeach hydroponic tray; or optical fiducials 114 at three or four cornersof the modules; etc. The system 100 can thus detect these opticalfiducials 114—such as through optical sensors 152 integrated into theloader 130 and into the robotic manipulator 150—to identify and locatethe module and to locate plant slots in each hydroponic tray in themodule.

In another implementation, a module includes: an open tray configured tocontain a standing volume of water and nutrients; a cover arranged overthe open tray and including a set of perforations, wherein eachperforation defines a plant slot configured to receive and retain oneplant (or one cluster of plants); and a stand configured to support thetray off of the ground. In the implementation: the open tray can definea standard rectangular geometry, as described above; and the lid caninclude a rectangular cover configured to float in water in the tray.For example, the lid can include: a rigid panel (e.g., nylon or aluminumsheet) defining an array (e.g., a linear grid array, a close-pack array)of plant slots; and floats extending across the underside of the rigidpanel and exhibiting sufficient buoyancy and/or height to maintain anair gap between the top surface of water in the tray and the bottomsurface of the lid when the array of plant slots in the lid are filledwith plants, thereby maintaining exposure to air—and thereforeoxygen—for upper root systems of these plants. Furthermore, in thisexample, because the lid floats on the water in the tray, the lid canensure that roots of these plants remain in contact with water in thetray despite changes to the water level in the tray.

Furthermore, in this implementation, the module can include a set ofoptical fiducials 114 arranged on the top surface of the lid and/or thetray and configured to indicate position, orientation, distance, type,and/or unique identity of the module. For example, the module caninclude: one optical fiducial 114 (e.g., a unique barcode orquick-response code) arranged at each of three or four corners on thelid; three (identical) colored dots (e.g., yellow for nursery stage, redfor finishing stage) arranged at corners of the lid or tray; or oneoptical fiducial 114 adjacent each plant slot on the lid (e.g., acolored circle, square, or polygon of known geometry and dimensionencircling each plant slot); etc.

Alternatively, the module can include an open tray with a fixed lid. Inthis implementation, the tray and fixed lid can define geometries andfeatures similar to those in the foregoing implementation but with thelid fixedly coupled to the rim of the tray, such as sealed against therim of the tray to prevent water from splashing out of the tray when themodule is moved by the loader 130.

The frame supporting the hydroponic tubes or tray can include a set ofhard points that the loader 130 is configured to engage when moving themodule between its assigned grow location on the floor of the facility102 and a module docking location adjacent a transfer station 140. Asdescribed below, the loader 130 can autonomously navigate over themodule, detect the module from overhead, and lift the module beforemoving the module laterally; in this implementation, the module caninclude optical fiducials 114 arranged across the top side of the tray,lid, or hydroponic tubes, etc. such that these optical fiducials 114 maybe detected by the loader 130 and thus enable the loader 130 to alignitself over the module before lifting the module from hard points on theframe. Alternatively, the loader 130 can be configured to autonomouslynavigate under the module. In this implementation, the module caninclude optical fiducials 114 arranged across the underside of theframe, tray, or hydroponic tubes, etc. such that these optical fiducials114 may be detected by the loader 130 and thus enable the loader 130 toalign itself under the module before engaging the module. Yetalternatively, the module can include: a set of wheels, casters, orrollers, etc.; a latch on a side or rear of the frame; and opticalfiducials 114 adjacent the latch. The loader 130 can thus detect theseoptical fiducials 114 to align itself to the latch, engage the latchaccordingly, and then pull or push the module between its assignedlocation on the facility 102 floor and a module docking locationadjacent a transfer station 140.

However, a module can define any other structure or geometry and candefine any other number or arrangement of plant slots.

3.2 Plant Cups

The system 100 can also include plant cups 112, wherein each plant cup112 is configured: to mate with plant slots in modules of various types(e.g., seeding-, nursery-, and finishing-type modules); and to supportthe stem of a sprout as the sprout grows into a mature plant supportedby the plant cup 112 in a sequence of modules of various types overtime. In particular, each plant cup 112 can include: an internal boreconfigured to retain the stem of a plant as the plants grows over time;and an engagement feature configured to engage an end effector 154 on arobotic manipulator 150, as described below, to enable the roboticmanipulator 150 to repeatably retrieve the plant cup 112 and plant,remove the plant cup 112 and plant from a plant slot in one module,inspect the plant, and then place the plant cup 112 and plant into aplant slot in another module.

In one implementation, each plant cup 112 defines a shoulder configuredto extend vertically above a plant slot—when set in the plant slot—toenable a static or actuatable jaw extending from the end effector 154 onthe robotic manipulator 150 to engage the plant cup 112 and to retrievethe plant cup 112 and its associated plant from its plant slot in BlockS140, as shown in FIG. 1. For example, a plant cup 112 can define aninverted cone that: self-centers in a plant slot; permits some slop inalignment of an end effector 154 to the plant cup 112 when the roboticmanipulator 150 retrieves the plant cup 112 from a plant slot; permitssome slop in alignment of the plant cup 112 to a plant slot when therobotic manipulator 150 inserts the plants cup into a plant slot; andincludes a flange along its upper (i.e., larger) edge to prevent theplant cup 112 from slipping fully through jaws on the end effector 154when the robotic manipulator 150 engages and lifts a plant out of amodule via the plant cup 112. The plant cup 112 can also include athru-bore extending through the center axis of the inverted cone,configured to accept a plant stem, and defining a diameter sufficient topermit the plant to grow in the plant cup 112 over time. The thru-borecan also be filled with foam or other soft or decomposable material tosupport the stem of a smaller sprout when the sprout is first placed inthe plant cup 112. The plant cup 112 can further include a keyed featureconfigured to rotationally register the plant cup 112 to the endeffector 154 and/or to a plant slot.

However, the plant cup 112 can define any other form or feature.

3.3 Loader

As shown in FIGS. 1 and 3, the loader 130 (e.g., a wheeled autonomousvehicle) is configured to navigate autonomously throughout the facility102: to relocate modules to a module docking location adjacent atransfer station 140 in preparation for loading plants into or unloadingplants from these modules in Block S110; and to selectively return thesemodules to their assigned grow locations throughout the facility 102. Inparticular, the loader 130 can be configured to automatically navigatethroughout the facility 102 to a particular location under or near amodule, to couple to or lift the module, to navigate—with the module—toa transfer station 140 within the facility 102, and to release (or“deposit”) the module at the transfer station 140. The roboticmanipulator 150 can be arranged near the center of the transfer station140, and the loader 130 can arrange a first module 110 of a nursery-typeand a second module 120 of a finishing-type adjacent the roboticmanipulator 150 at the transfer station 140 in order to enable therobotic manipulator 150 to navigate its end effector 154 across both thefull extent of plant slots in the first module no and the full extent ofplant slots in the second module 120. The loader 130 can also deposit athird module 122 of the finishing-type to the transfer station 140, suchas adjacent the second module 120, and the robotic manipulator 150 cantransition to transferring cleared plants from the first module no tothe third module 122 once all plant slots in the second module 120 arefilled. The loader 130 can also deposit a fourth module 114 of thenursery-type (e.g., an “extended grow time” module of the nursery-type)to the transfer station 140, and the robotic manipulator 150 cantransfer underweight plants removed from the first module no into thefourth module 114 to enable access to a next plant in the first module110, which may be of a sufficient weight for transfer into the secondmodule 120 of the finishing-type. The loader 130 can then return thesecond, third, and/or fourth modules to assigned grow areas within thefacility 102, such as under a translucent roof and/or under artificiallighting.

The loader 130 can also deliver a seeding tray to the transfer module,and the robotic manipulator 150 can implement similar methods andtechniques to check sizes and weights of plants in the seeding tray andto sequentially transfer plants from the seeding tray into the firstmodule no before the loader 130 returns the first module no to anassigned grow area within the facility 102. Alternatively, the system100 can include a second robotic manipulator 150 arranged at a secondtransfer station 140 within the facility 102, and the loader 130 candeliver the first module 110 and the seeding tray to the second transferstation 140, and the second robotic manipulator 150 can transfer sproutsfrom the seeding tray into the first module 110.

3.4 Transfer Station

As shown in FIGS. 1 and 4, the system 100 also includes a transferstation 140 arranged within the facility 102 and defining a location atwhich plants are autonomously inspected and transferred from a firstmodule 110 (e.g., a nursery-type module) containing a higher density ofplants slots to a second module 120 (e.g., a finishing module)containing a lower density of plants slots.

The system 100 can also include a robotic manipulator 150: arranged atthe transfer station 140; defining a multi-link robotic manipulator 150that is sufficiently mobile to reach each plant slot in a moduletemporarily positioned at the transfer station 140; including an endeffector 154 configured to engage plant cups 112 supporting plants inthis module; and/or including an optical sensor 152 (e.g., amultispectral camera, or a stereoscopic camera, etc.) configured torecord module-level optical scans of modules delivered to the transferstation 140 and/or to record plant-specific optical scans of plants inthese modules, as described below. The system 100 (e.g., the controller104) can process these optical scans (or otherwise process optical datarecorded by the optical sensor 152 or process the field of view of theoptical sensor 152) to detect optical fiducials 114 on these modules, todetect plants in these modules, and to qualify or quantify viability ofthese plants.

In one implementation, the robotic manipulator 150 includes: a baserigidly mounted to a floor of the facility 102 at a transfer station140; an end effector 154 configured to engage plant cups 112 andsupporting one or more optical sensors 152; and multipleindependently-operable links and joints that couple between the base tothe end effector 154 and that cooperate to navigate the end effector 154across full lengths and widths of plant slots in modules (e.g., anursery-type module and a finishing-type module) temporarily positionedat the transfer station 140.

Alternatively, the transfer station 140 can include a (short)bi-directional conveyor 156 (or other linear slide or linear actuator)rigidly mounted to the floor of the facility 102 at the transfer station140 and configured to move a sled along the length of a module dockinglocation at the transfer station 140. The base of the roboticmanipulator 150 can be mounted to the sled, and the conveyor 156 canthus move the robotic manipulator 150 along the length of the moduledocking location. For example: modules in the system 100 can beapproximately four feet in width and eight feet in length; the loader130 can temporarily position a first module no in a module dockinglocation at the transfer station 140 with a long edge of the firstmodule no adjacent and approximately parallel to the conveyor 156; andthe robotic manipulator 150 can be configured to reach and reliablyengage a plant cup 112 in a plant slot offset from the centerline of theconveyor 156 by up to six feet (i.e., more than the width of the modulebut less than the length of the first module no.) In this example, theconveyor 156 can thus move the robotic manipulator 150 linearly along(all or a portion of) the length of the module docking location in orderto enable the robotic manipulator 150 to reach and reliably engage plantcups 112 along the full length of the far long side of the first module110. In this implementation, the conveyor 156 can thus function to movethe robotic manipulator 150 linearly along the length of the moduledocking location—and thus along a long edge of a module temporarilypositioned in the module parking zone—in order to: enable a roboticmanipulator 150 with a smaller working volume to execute Blocks of themethod S100 at the transfer station 140; and/or to enable the system 100to maintain high positional accuracy and control of the end effector154, since positional accuracy and control of the end effector 154 mayvary inversely with distance of the end effector 154 from the base ofthe robotic manipulator 150. In this variation, the robotic manipulator150 and the conveyor 156 are described below generally as the “roboticmanipulator 150.”

In one variation, the robotic manipulator 150 further includes a weightsensor 158—such as in the form of a strain gauge integrated into a jointor into the end effector 154—configured to output a signal representinga weight or mass of a plant retrieved by the robotic manipulator 150, asdescribed below.

3.5 Optical Inspection Station

In one variation shown in FIG. 4, the system 100 includes an opticalinspection station 160 located at the transfer station 140 andphysically accessible to the robotic manipulator 150. In oneimplementation, the optical inspection station 160 includes: anenclosure defining an aperture configured to receive a plant via therobotic manipulator 150; a receptacle arranged inside the enclosure andconfigured to receive and support a plant cup 112 within the enclosure;a set of light elements configured to repeatably illuminate a plantplaced over the receptacle by the robotic manipulator 150; and anoptical sensor 152 (e.g., a 2D color camera, a stereoscopic colorcamera, and/or a multispectral camera, etc.) arranged inside theenclosure over the receptacle and configured to capture a 2D or 3D imageof the plant when illuminated by the light elements. In thisimplementation, the optical inspection station 160 can also include: arotary table arranged inside the enclosure, supporting the receptacle,and configured to rotate a plant placed in the receptacle; and opticalfiducials 114 arranged on the outside of the enclosure, which therobotic manipulator 150 can detect through an optical sensor 152arranged proximal its end effector 154 to determine the location of theend effector 154 relative to the aperture in the enclosure.

In the foregoing implementation, upon retrieving a plant from a moduletemporarily positioned in the module docking location, the roboticmanipulator 150 can: autonomously navigate the end effector 154 towardthe optical inspection station 160; detect an optical fiducial 114 onthe exterior of the optical inspection station 160; register its motionto this optical fiducial 114; navigate the end effector 154 and plantthrough the aperture in the optical inspection station 160; deposit theplant onto the receptacle inside the optical inspection station 160; andthen retract the end effector 154 before triggering the opticalinspection station 160 to execute a scan routine. During a scan routine,the optical inspection station 160 can: activate the light elements; andtrigger the optical sensor 152(s) to record 2D or 3D images of theplant, such as while the rotary table rotates 360° within the opticalinspection station 160. The system 100 can then extract variouscharacteristics of the plant from the 2D or 3D images—such as the size,shape, color, and pest indicators of the plant—as described below. Thesystem 100 can additionally or alternatively store these 2D or 3D imagesof the plant in a file specific to the plant.

3.6 Multiple Transfer Stations

The method S100 is described below as executed by the system 100 to testand transfer plants from a first module 110 of a nursery-type to asecond module 120 of a finishing-type. However, the system 100 canimplement similar methods and techniques to transfer plants betweenmodules of any other type, configuration, or plant slot density. Forexample; a first robotic manipulator 150 at a first transfer station 140can be configured to transfer plants from a seeding tray into modules ofthe nursery-type; a second robotic manipulator 150 at a second transferstation 140 can be configured to transfer plants from modules of thenursery-type to modules of the finishing-type; and a third roboticmanipulator 150 at a third transfer station 140 within the facility 102can be configured to transfer plants from modules of the finishing-typeonto a conveyor 156, into boxes, or onto pallets for manual or automatedprocessing and shipment from the facility 102. However, the method S100can be executed to automatically test and transfer plants betweenmodules of any other types—that is, between modules defining plant slotdensities suitable for any other segments or durations of the grow cycleof a particular plant, plant sub-species, or plant species, etc. grownin the facility 102.

The method S100 is also described as executed by the system 100 toautomatically transfer lettuce through a sequence of seeding trays,nursery-type modules, and finishing-type modules. However, the methodS100 can be implemented in a greenhouse or other agricultural facility102 in conjunction with growing any other type of plant, such as to growfruit, vegetables, legumes, flowers, shrubs, or trees, etc.

4. Module Delivery

Block S110 of the method S100 recites: dispatching a loader toautonomously deliver a first module from a first grow location within anagricultural facility to a transfer station within the agriculturalfacility, wherein the first module defines a first array of plant slotsat a first density and loaded with a first set of plants at a firstgrowth stage. (Block S110 can similarly receive a first module defininga first array of plant slots of a first density, wherein the first arrayof plant slots is loaded with a group of plants in a first growthstage.) Generally, in Block S110, the system 100 (e.g., the controller104) dispatches the loader to collect the first module from its locationin a grow area of the facility and to deliver the first module to atransfer station at which a robotic manipulator (or other system) islocated within the facility, as shown in FIGS. 1 and 2A. For example,the loader can navigate to a location within the facility to which thefirst module was last delivered, position itself over or under the firstmodule, actuate an elevator or latch to lift the first module off of thefloor, navigate to a first module docking location on a first side ofthe robotic manipulator at the transfer station, and then lower theelevator or release the latch to return the first module to the floor atthe first module docking location, as shown in FIG. 1.

The system 100 can implement similar methods and techniques to call thesecond module to the transfer station, and the loader can implementsimilar methods and techniques to retrieve the second module and depositthe second module at a second docking location at the transfer station,such as adjacent the robotic manipulator opposite the first moduledocking location at the transfer station. For example, the system 100can: dispatch the loader to autonomously deliver a secondmodule—defining a second array of plant slots at a second density lessthan the first density and empty of plants—to the transfer station(e.g., to a second module docking location on a second side of therobotic manipulator opposite the first module docking location at thetransfer station) for loading with viable plants from the first modulein Block S112; dispatch the loader to autonomously deliver a thirdmodule—defining a third array of plant slots at the second density—tothe transfer station for loading with viable plants from the firstmodule once plants slots in the second module are filled in Block S113;and dispatch the loader to autonomously deliver a fourth module—defininga fourth array of plant slots at the first density—to the transferstation in Block S114 for loading with undersized or otherwiselower-viability plants from the first module.

5. Module-Level Optical Scan

Block S120 of the method S100 recites recording a module-level opticalscan of the first module; and Block S122 of the method S100 recitesextracting a viability parameter of the first set of plants fromfeatures detected in the module-level optical scan. Generally, thesystem 100 collects initial optical data of plants arranged in the firstmodule once the first module is delivered to the transfer station inBlock S120 and then extracts various plant-related metrics from theseoptical data in Block S122. In particular, upon arrival of the firstmodule to the transfer station, the robotic manipulator can record amodule-level 2D or 3D scan of all plants currently housed in the firstmodule in Block S120 and then implement computer vision techniques toextract relatively low-resolution plant size, plant quality, and/orindicators of pest presence, etc. for each of these plants from thismodule-level scan, as shown in FIGS. 1 and 2A

5.1 Module-Level Optical Scan by Robotic Manipulator

In one variation, the system 100 records the module-level opticalscan—of the width and length of the first module—via an optical sensorarranged at the transfer station in response to arrival of the firstmodule at the transfer station in Block S120. In one implementation, therobotic manipulator includes a stereoscopic color camera integrated intoor arranged near the end effector, as shown in FIG. 1. Upon arrival ofthe first module at the transfer station, the robotic manipulatornavigates the end effector to a predefined position that orients thecamera over the first module and then triggers the camera to record asingle 3D top-down photographic image (or “optical scan”) of the firstmodule. In particular, the system 100 can navigate the end effector onthe robotic manipulator to a predefined scan position over the firstmodule docking location—and therefore over the first module—in responseto arrival of the first module at the transfer station and then record amodule-level optical scan of the first module through the optical sensorintegrated into the end effector or otherwise coupled to the roboticmanipulator. The system 100 can then detect—in the module-level opticalscan or otherwise in the field of view of the camera when the roboticmanipulator occupies this scan position—an optical fiducial arranged onthe first module, register motion of the end effector to this opticalfiducial, and then position the end effector and camera at a targetlocation over the first module relative to this optical fiducial beforerecording the optical scan of the first module via the camera in BlockS120.

Alternatively, the robotic manipulator can include a 2D color camera (ormultispectral camera, etc.). Upon arrival of the first module at thetransfer station, the robotic manipulator can: navigate the end effectorand the camera through multiple preset positions, such as in machinecoordinates or relative to an optical fiducial detected on the firstmodule; and record a two-dimensional photographic image of the firstmodule through the camera at each of these positions in Block S120. Therobotic manipulator (or the system 100 more generally) can then stitchthese two-dimensional photographic images into a single 3-D photographicimage (or “optical scan”) representing plants currently housed in thefirst module.

Yet alternatively, the robotic manipulator can include a depth camerathat includes an active infrared texture projector, and the roboticmanipulator can record a depth image of the width and length of thefirst module in Block S120; and the robotic manipulator (or the system100 more generally) can reconstruct 3-D shapes of plants in the firstmodule from this depth image. However, the robotic manipulator canimplement any other method or technique to capture a 2-D to 3-D opticalscan of the first module.

Once this optical scan of the first module is this recorded in BlockS120 and before initiating a transfer cycle to move plants from thefirst module to a second module nearby, the system 100 can extractmetrics of plants in the first module and confirm that these plants meetpredefined checks—such as size, leaf color, or lack of pestindicators—based on these metrics in Block S122.

5.2 Plant Size

In one implementation, the system 100 checks that plants currentlyhoused in the first module are generally of a size sufficient to warranttransfer from the first module to a second, finishing-type module. Inparticular, if plants in the first module generally exceed a presetthreshold size, these plants may grow faster and be of higher quality iftransferred to the second module. However, if metrics extracted from themodule-level scan image of the first module indicate that plants in thefirst module do not generally exceed the preset threshold size: transferof these plants to the second module may yield minimal—or may evennegative—impact on grow rate and quality of these plants whilesimultaneously reducing efficiency of plant distribution throughout thefacility; and use of the robotic manipulator to transfer plants out ofthe first module may delay transfer of higher-need plants out of anothermodule. Therefore, the system 100 can analyze the module-level opticalscan of the first module to determine whether the plants are generallyof sufficient size before either: triggering the loader to return thefirst module to its previous grow location within the facility; ortriggering the robotic manipulator to initiate a transfer cycle in whichthe robotic manipulator sequentially selects plants from the firstmodule and scans these individual plants (e.g., at greater resolution)before discarding or placing these individual plants in the secondmodule.

In this implementation, the system 100 can execute computer visiontechniques, such as edge detection or blob detection, to: identify aperimeter of the first module in the optical scan; count a number ofgreen pixels in the optical scan (e.g., a number of pixels exceeding athreshold intensity or brightness in the green color channel in theoptical scan); and then authorize plants in the first module fortransfer to a second module if the ratio of green pixels to a totalnumber of pixels in the image exceeds a threshold ratio (and vice versain Block S130 described below). Similarly, the system 100 can implementa color classifier to classify a likelihood that pixels in the opticalscan represent a plant and then count the number of pixels in theoptical scan that are classified as ‘likely to represent a plant.’

The system 100 can implement these methods and techniques for each colorchannel in the optical scan, merge classifications for correspondingpixels in each color channel, count a number of pixels in a compositecolor space that are ‘likely to represent a plant,’ and then authorizethe robotic manipulator to execute a sequence of transfer cycles to moveplants outs of the first module and into a second, finishing-type moduleif the count of pixels classified as ‘likely to represent a plant’exceeds a threshold pixel count or exceeds a threshold proportion of allpixels in the optical scan that correspond to the first module. Thesystem 100 can therefore “pass” or “fail” plants housed in the firstmodule based on fill factor—that is, a proportion of foliage or leafcover area over the first module detected in a two-dimensional opticalscan of the first module, as shown in FIGS. 1 and 2A.

Similarly, the system 100 can detect optical fiducials on the firstmodule in the optical scan and align a preexisting plant slot map forthe module type of the first module to these optical fiducials to locateapproximate centers of each plant slot—and therefore each plant—in thefirst module. For a first plant slot in the first module thus located inthe optical scan, the system 100 can then: detect a cluster (or “blob”)of green pixels—exceeding a threshold intensity or brightness in thegreen color channel in the optical scan—radiating from the approximatecenter of the first plant slot in the optical scan; associate thiscluster of green pixels with a first plant in the first plant slot inthe first module; estimate a size (e.g., an approximate diameter) of thefirst plant based on a size and geometry of this cluster of greenpixels; and repeat this process for each other plant slot located in thefirst module. The system 100 can then authorize the robotic manipulatorto transfer plants in the first module to the second, finishing-typemodule: if the mean or average size of plants in the first moduleexceeds a threshold size; or if at least a threshold proportion ofplants in the first module exceeds a preset minimum plant size; etc.

In the implementation described above in which the system 100 records a3D optical scan of the first module in Block S120, the system 100 can:implement similar methods and techniques to detect optical fiducials onthe first module in the optical scan; align a preexisting plant slot mapfor the module type of the first module to these optical fiducials tolocate approximate centers of each plant slot—and therefore eachplant—in the first module; calculate a plane (approximately)intersecting each plant cup and/or plant slot in the first module; andthen extract a peak height of a surface over the center of each plantslot located in the 3D optical scan and normal to the plane. The system100 can: store peak height values for each plant slot as approximateheights of corresponding plants in the first module; and then authorizethese plants in the first module for transfer to a second module if themean or average height of these plants exceeds a threshold height or ifat least a threshold proportion of plants in the first module exceed aminimum plant height, etc.

Therefore, the system 100 can: detect a first optical fiducial on thefirst module in the module-level optical scan; estimate locations of thefirst array of plant slots in the first module based on the firstoptical fiducial and a known plant slot layout for a first module typeof the first module, as described above; detect areas of foliage of thefirst set of plants in the first module represented in the optical scan;estimate sizes of plants in the first set of plants based on discreteareas of foliage detected over locations of the first array of plantslots in the optical scan in Block S122; and then authorize the firstset of plants for transfer out of the first module and intofinishing-type modules if more than a threshold proportion of plants inthe first set of plants exhibit estimated sizes exceeding a target plantsize. Furthermore, the system 100 can: reject transfer of the first setof plants from the first module if less than the threshold proportion ofplants in the first set of plants exhibit estimated sizes exceeding thetarget plant size; and then dispatch the loader to autonomously returnthe first module back to the first grow location within the agriculturalfacility.

However, the system 100 can implement any other method or technique tocharacterize sizes of plants in the first module based on featuresdetected in the module-level optical scan and to selectively pass orfail these plants accordingly in Blocks S140 and S130, respectively.

5.3 Pests

Additionally or alternatively, the system 100 can implement computervision techniques to detect pests or to detect indicators of pestpressure within the first set of plants in the first module from theoptical scan recorded in Block S120. In particular, before authorizingdirect contact between the robotic manipulator and plants in the firstmodule, the system 100 can: trigger the robotic manipulator to record a2D or 3D optical scan of the first module in Block S120; then analyzethis optical scan for pests or indicators of pest pressure across plantshoused in the first module; and authorize the robotic manipulator toinitiate a sequence of transfer cycles only in the absence of detectedpests or insufficient indicators of pest pressure across plants in thefirst module, thereby reducing opportunity for contamination of therobotic manipulator with pests through direct contact. For example, ifthe system 100 does detect pests or indicators of pests in the plants inthe first module, the system 100 can: flag the first module; trigger thearm to move away from the first module or otherwise bar the roboticmanipulator from contacting plants in the first module; and trigger theloader to move the first module to a separate quarantine area within thefacility. Therefore, the system 100 can analyze the optical scan forpests or indicators of pests in plants in the first module andselectively trigger the robotic manipulator to execute a sequence oftransfer cycles based on results of this analysis.

For example, the system 100 can scan the optical scan for dark (e.g.,black or brown) round or lozenge-shaped spots that may indicate thepresence of insects (e.g., ants, aphids, flies, silverfish, moths, orcaterpillars, etc.) on plants within the first module. In this example,the system 100 can maintain a counter of such spots, authorize the firstset of plants in the first module for transfer to a second module if thefinal value of this counter remains below a threshold value (e.g., “5”),and fail the first set of plants in the first module (e.g., flag thefirst module for quarantine and bar the robotic manipulator frominteracting with these plants) if the final value of this counterexceeds the threshold value.

In another example, the system 100 can: record multiple optical scans ofthe first module over a period of time (e.g., five seconds) in BlockS120; repeat the foregoing methods and techniques to identify dark spotsin each of these optical scans; implement object tracking techniques todetect motion of these dark spots across the optical scans; confirm thatthese spots represent insects if the system 100 determines that thesespots have moved throughout this sequence of optical scans; and thenfail the first module accordingly. The system 100 can implement similarmethods and techniques to detect parasites (e.g., chiggers, ticks, ormites) and/or gastropods (e.g., slugs) on leafy regions of plants shownin the optical scan.

In another example, the system 100 scans the optical scan for dark,discolored leaf regions that may indicate a nematode infestation. Inthis example, if the system 100 detects any such dark, discolored leafregion in the first module, calculates that a proportion of the leafarea in the first module are discolored, or detects any othersufficiently-strong indicator of pests in the first module, the system100 can fail the first module and flag the first module and its contentsfor quarantine accordingly. The system 100 can similarly process theoptical scan to detect mold or other fungus on plants in the firstmodule.

Therefore, the system 100 can extract a set of features from themodule-level optical scan and calculate a probability of pest presencein the first module based on the set of features in Block S122, such asbased on one or more features detected in the optical scan as describedabove. The system 100 can then reject transfer of the first set ofplants from the first module in Block S130 and dispatch the loader toautonomously deliver the first module to a quarantine station within theagricultural facility in Block S111 if the probability of pest presenceexceeds a threshold probability. However, if the probability of pestpresence is less than the threshold probability, the system 100 canauthorize the first set of plants for transfer out of the first moduleand trigger the robotic manipulator to sequentially transfer plants fromthe first module into the second module accordingly in Block S140.

However, the system 100 can implement any other methods or techniques todetect pests—of any other type—directly or to infer the presence ofpests in plants in the first module from color data contained in one ora sequence of optical scans of the first module.

5.4 Leaf Color

The system 100 can also extract color values from regions of the opticalscan that correspond to leaves or other plant matter and can authorizethe first set of plants in the first module for transfer to a secondmodule if these color values fall within a target range (and viceversa). In particular, leaf color may exhibit strong correlation toplant “health,” which may exhibit strong correlation to plant viability,salability, flavor, and/or value once harvested. After recording anoptical scan of the first module in Block S120, the system 100 can thus:extract color values of plants in the first module from the opticalscan; qualify or quantify health of plants in the first module accordingto their corresponding color values; and authorize the roboticmanipulator to initiate a sequence of transfer cycles to transfer theseplants from the first module to a second, finishing-type module if theaverage health of these plants exceeds a preset minimum health value orif at least a minimum proportion of these plants exceeds a presetminimum health value.

Therefore, if visual characteristics of plants in the first modulegenerally indicate that plants in the first module are unhealthy orotherwise exhibit low viability, the system 100 can queue the loader toremove the first module to a discard station in which the contents ofthe first module are discarded (e.g., to a remote compost bin), ratherthan waste robotic manipulator resources distributing plants that may beunlikely to recover to yield high-quality produce when harvested at alater time. (The system 100 can alternatively trigger the roboticmanipulator to remove plants from first module and immediately discardthese plants (e.g., to a local compost bin at the transfer station)).

In one implementation, the system 100 implements template matching orobject recognition techniques to identify leaves in the optical scan,such as based on template images or models of leaves of plants of thesame type and at similar growth stages as the first set of plants in thefirst module. The system 100 can then correlate light-colored (e.g.,yellow, tan, brown) regions around perimeters of these leaves withchemical burns or insufficient nutrient supply and then flag theseplants accordingly. The system 100 can then reject the first moduleentirely if: more than a threshold number of plants in the first moduleexhibit such chemical burns or indicators of insufficient nutrientsupply; or if more than a threshold leaf area of plants in the firstmodule exhibit such chemical burns or indicators of insufficientnutrient supply.

For example, upon rejecting the first module, the system 100 can:trigger the loader to deliver the first module to a discard station forremoval and disposal of these plants; and then trigger the loader todeliver the first module to a repair station at which the first modulemay be inspected for defects and repaired or replaced with a like moduleif necessary. Alternatively, upon rejecting the first module, the system100 can: calculate an adjusted nutrient blend for plants in the firstmodule in order to preempt such chemical burns or improper nutrientsupply in the future; and then assign this adjusted nutrient blend tothe first module (and to other like modules containing plants of thesame type in similar growth stages throughout the facility).

Yet alternatively, in the foregoing example, the system 100 can:determine that the module is malfunctioning based on chemical burns orimproper nutrient supply thus detected in plants in the first module;dispatch the loader to deliver a third module of the same type as thefirst module (e.g., a nursery-type module) to the transfer station;trigger the robotic manipulator to transfer all plants (or allsalvageable plants) from the first module to the third module; triggerthe loader to deliver the first module to the repair station; andtrigger the loader to deliver the second module to a recovery areawithin the facility at which these plants may recover from thesechemical burns or nutrient deficiency, such as underlower-light-intensity and lower-temperature conditions.

In a similar example, if the system 100 identifies heat burns on plantsin the first module from the optical scan, the system 100 can: triggerthe loader to deliver the first module to a discard station for removaland disposal of these plants; and set a lower augmented or secondarylight intensity across the facility or at a select region in thefacility in which the first module was previously stationed in order topreempt similar heat burns to plants in other modules in the facility.Alternatively, the system 100 can trigger the loader to return the firstmodule to an area of the facility assigned a lower-light-intensity(e.g., a lower intensity of augmented or secondary light). Yetalternatively, the system 100 can implement methods and techniquesdescribed below to trigger the robotic manipulator to transfer plants inthe first nursery-type module to a second finishing-type module andassign the second module to a lower-light-intensity grow location withinthe facility in order to enable these burned plants to recover and grow.

Therefore, if the system 100 detects heat burns, chemical burns, orother nutrient deficiencies in plants in the first module from featuresextracted from the optical scan, the system 100 can dispatch the loaderto deliver the first module to: a location in the facility in whichthese plants may be discarded; a location in the facility in which thefirst module may be inspected and repaired as needed; or to a growlocation in the facility in which these plants may recover; etc. withouttriggering the robotic manipulator to interact with plants in the firstmodule in order to allocate operation of the robotic manipulator totransferring higher-viability plants between other modules.Alternatively, if the system 100 detects heat burns, chemical burns, orother nutrient deficiencies in plants in the first module, the system100 can execute methods and techniques described below to trigger therobotic manipulator to transfer these plants to another module that maybetter enable these plants to recover.

5.5 Failing the First Module

Block S130 of the method S100 recites, in response to the viabilityparameter falling below a target value, rejecting the first module.Generally, in Block S130, the system 100 can flag the entire first setof plants in the first module as not ready for the next growth stage orotherwise not viable if the system 100 determines from the optical scanthat all or at least a threshold proportion of plants in the firstmodule fail one or more predefined viability metrics, such as: exhibitless than a threshold size (e.g., height, effective radius) or fillfactor, exhibit foliage colors that fall outside of a predefined colorset or color range, or exhibit more than a threshold probability of pestpresence, as described above. For example, if the system 100 determinesthat plants in the first module are undersized but otherwise healthy(e.g., not exhibiting signs of chemical burns, malnourishment, orpests), the system 100 can flag the first module for an extended growingperiod (e.g., an additional 48 hours in its assigned grow location inthe facility) and call the loader to return the first module to anassigned grow area within the facility, as shown in FIGS. 1 and 2A.However, if the system 100 determines that plants in the first moduleexhibit chemical burns or malnourishment too excessive forrehabilitation, the system 100 can: flag the first set of plants in thefirst module for disposal; and dispatch the loader to deliver the firstmodule to a cleaning station within the facility. Similarly, if thesystem 100 determines that plants in the first module exhibit signs ofpests, the system 100 can: flag the first set of plants in the firstmodule for immediate quarantine and eventual disposal; flag the firstmodule for sanitation; and dispatch the loader to move the first moduleaway from the transfer station accordingly.

5.6 Authorizing the First Module

However, if the system 100 determines that all or a sufficientproportion of plants in the first module pass all predefined viabilitymetrics—such as exceed a threshold size (e.g., height, effective radius)or fill factor, exhibit foliage colors that fall within a predefinedcolor set or color range, and/or exhibit less than a thresholdprobability of pest presence, as described above—the system 100 can:authorize the first set of plants in the first module (e.g., anursery-type module characterized by a first density of plant slots) fortransfer to a second module (e.g., a second finishing-type modulecharacterized by a second density of plant slots less than the firstdensity of plant slots); and then trigger the robotic manipulator toexecute a sequence of transfer cycles to move these plants out of thefirst module and into a next module in Block S140, as shown in FIGS. 2Aand 2B. In particular, if the system 100 determines from featuresextracted from the optical scan that all or at least a thresholdproportion of plants in the first module are of a size greater than athreshold size, exhibit foliage (or fruit) colors within a target colorrange, and/or exhibit no or limited signs of pests or pest pressure, thesystem 100 can trigger the robotic manipulator to execute a sequence oftransfer cycles to move plants from the first module to a second module(and to a third module, etc.).

5.7 Plant Metrics

The system 100 can also populate a digital file (e.g., a standalonedigital file or a database) for each plant in the first module with dataextracted from the optical scan and/or from a secondary scan or image ofthe plant captured after the plant is removed from the first module, asdescribed below.

Furthermore, the system 100 can compare data extracted from the currentoptical scan to data collected previously from the plants in the firstmodule. For example, the system 100 can write—to each plant's associateddigital file—a change in the size or color of the plant or a calculatedgrowth rate of the plant since a last optical scan of the first moduleor of the plant more specifically. In particular, the system 100 canstore plant-related data extracted from an optical scan of plants in thefirst module to digital files assigned to each of these plants—such asbased on the plant slot in which each plant is located in the firstmodule—or to the first set of plants in the first module generally; thesystem 100 can record and track growth metrics of plants throughout thefacility and modify intensities of controlled lighting (e.g., naturallight and artificial secondary lighting) within the facility, nutrientssupplied to plants throughout the facility, plant types or strains grownin the facility, etc. based on these data.

5.8 Flagging Individual Plants

In one variation, the system 100 can implement methods and techniquesdescribed above to identify—from the module-level opticalscan—individual plants in the first module that are undersized,unhealthy, or otherwise exhibit lower viability than other plants in thefirst module. The system 100 can then flag these individual plants andeither trigger the robotic manipulator to discard these flagged plantsor to transfer these flagged plants into anotherhigher-plant-slot-density module with other lower-viability plants.

In one example, the system 100 implements a minimum threshold size checkand minimum threshold “health” check (e.g., as a function of leaf colorand indicators of pest presence) for each plant detected in themodule-level optical scan of the first module. The system 100 can thenflag each plant that fails either of the minimum threshold size checkand the minimum threshold “health” check. In this example, the system100 can also implement a minimum plant yield (e.g., 60%) from a moduletype of the first module to selectively pass or fail the first module asa whole. For example, if the total number or proportion of plants in thefirst module—that pass both the minimum threshold size check and theminimum threshold “health” check—exceeds the minimum plant yield, thesystem 100 can: authorize the robotic manipulator to transfer plants outof the first module; and trigger the robotic manipulator to selectivelydiscard or divert certain plants—removed from the first module—that failto meet either the minimum threshold size check or the minimum threshold“health” check. However, if the total number or proportion of plants inthe first module—that pass both the minimum threshold size check and theminimum threshold “health” check—is less than the minimum plant yield,the system 100 can fail the first module and either: dispatch the loaderto return the first module to its assigned grow location within thefacility if these plants are generally too small; or dispatch the loaderto deliver the first module to a plant disposal and cleaning stationwithin the facility if these plants are generally unhealthy.

In another example, the system 100 can implement a maximum target yieldfor the module type of the first module, such as a maximum target yieldof 94% yield (e.g., 45 out of 48 total plant slots) for nursery-typemodules. In this example, when the first nursery-type module containing48 plants is positioned at the transfer station, the system 100 can:identify the three smallest and/or least-healthy plants detected in themodule-level optical scan recorded in Block S120; and flag these threeplants for disposal by the robotic manipulator during subsequenttransfer cycles.

In a similar example, nursery-type modules can include 50 plant slots,and finishing-type modules can include twelve plant slots. To distributeplants from the first, nursery-type module to four finishing-typemodules, the system 100 can: identify the two lowest-quality plants inthe first module from the optical scan of the first module recorded inBlock S120; flag these two plants for culling; sequentially transferplants from the first module to second, third, fourth, and then fifthmodules of the finish type; and selectively discard the two flaggedplants (e.g., into a compost bin) upon reaching these two plants duringthe transfer cycles.

In the foregoing examples, the system can thus: distinguish each plant,in the first set of plants in the first module, in the module-leveloptical scan; characterize viability of each plant in the first modulebased on features extracted from the module-level optical scan; access atarget yield for a first module type of the first module; define a firstsubset of plants exhibiting greatest viability in the first subset ofplants in the first module; and define a second subset of plants—inexcess of the target yield—exhibiting lowest viability in the first setof plants in Block S122. In response to reaching a plant in the firstsubset of plants in the first module, the robotic manipulator can thentransfer the plant to a next plant slot in the second array of plantslots in the second module in Block S140; however, in response toengaging a low-viability plant in the second subset of plants in thefirst module, the robotic manipulator can transfer the plant to adiscard container or other secondary module.

The system 100 can thus programmatically discard a target number oflowest-viability plants from the first module when the first module isdelivered to the transfer station, thereby: increasing average plantquality during both the nursery and finishing stages; increasing theefficiency with which these higher-quality plants are distributedthroughout the facility; and/or eradicating strains of lower-qualityplants from the facility over time.

5.9 Module-Level Optical Scan by Loader

In one variation in which the loader is configured to navigate over amodule before engaging the module, as described above, the loader caninclude a similar optical sensor—such as a 2D color, 3D stereoscopic, ormultispectral camera—facing downwardly toward the floor and defining afield of view that includes the width and length of a module below oncethe loader navigates into position over the module. In this variation,the system 100 can dispatch the loader to the first module; once theloader navigates into position over the first module and engages (e.g.,latches onto or lifts) the first module, the loader can trigger theoptical sensor to record an optical scan.

The system 100 can then process this optical sensor as described abovebefore dispatching the loader to deliver the first module to thetransfer station. In particular, in this variation, the system 100 cancheck plants in the first module for pests and/or indicators of pestpresence before releasing the first module to the transfer station,therefore further isolating the robotic manipulator and the transferstation from possible contamination by pests. Similarly, the system 100can: check plants in the first module for size and quality, as describedabove, and only dispatch the loader to deliver the first module to thetransfer station if these plants are of sufficient size and quality,thereby improving efficiency of both the loader and the transferstation. Furthermore, if the system 100 detects undersized plants in thefirst module, the system 100 can prompt the loader to deliver the firstmodule to a higher-yield grow location (e.g., a location with morenatural light) in the facility; if the system 100 detects low-healthplants in the first module, the system 100 can prompt the loader todeliver the first module to a recycling area where these plants areremoved from the first module and composted; and if the system 100detects pests in the first module, the system 100 can prompt the loaderto deliver the first module to a separate quarantine area of thefacility; etc. rather than deliver the first module to the transferstation.

Therefore, in this variation, the system 100 can: record a module-leveloptical scan of the first module via an optical sensor integrated intothe loader in response to arrival of the loader over the first module atthe first grow location; extract a viability parameter (e.g.,representing a size, a shape, a color, and/or pest indicators) of theset of plants in the first module from this module-level optical scan,as described above; and then prompt the loader to autonomously deliverthe first module to the transfer station if (and only if) the viabilityparameter of the first set of plants in the first module falls withinthe preset target range. Otherwise, the system 100 can dispatch theloader to scan plants in another module in the facility.

However, the system 100 can record an optical scan of the first modulein any other way in Block S120 and extract other metrics or otherinsights into viability (e.g., quality and health) of plants in thefirst module in any other way from this optical scan in Block S122.

6. Transfer Setup and Module Registration

As described above, upon delivery of the first module to the transferstation, the system 100 can: record a module-level optical scan of thefirst module, such as through an optical sensor integrated into therobotic manipulator; detect one or more optical fiducials arranged inthe first module in the optical scan; and align a preexisting plant slotmap (or “layout”) for the module type of the first module to theseoptical fiducials in order to locate approximate centers of each plantslot—and therefore each plant—in the first module, as shown in FIG. 2A.In particular, the system 100 can: detect a first optical fiducial onthe first module in the module-level optical scan; estimate locations ofthe first array of plant slots in the first module based on the firstoptical fiducial and a known plant slot layout for a first module typeof the first module; and then autonomously navigate the roboticmanipulator to sequentially engage plants in these plant slots in thefirst module.

Similarly, when the loader delivers the second module to the secondmodule docking location at the transfer station, the system 100 can:autonomously drive the end effector to a second scan position over thesecond module docking location to locate the second module in the fieldof view of the optical sensor; trigger the optical sensor in the roboticmanipulator to record a second module-level optical scan of the secondmodule; detect a second optical fiducial on the second module in thesecond module-level optical scan (or otherwise in the field of view ofthe optical sensor); and similarly estimate locations of the secondarray of plant slots in the second module based on the second opticalfiducial and a known plant slot layout for a second module type of thesecond module. In particular, upon delivery of an empty module of thefinishing-type (e.g., the “second module”) at the transfer station, thesystem 100 can implement methods and techniques described above to:record a second optical scan of the second module; to identify fiducialson the second module; to project a plant slot map for the type of thesecond module onto the second optical scan based on positions andorientations of optical fiducials in the second optical scan to locateplant slots in the second module; and then set a fill order or fillsequence for transferring plants from the first module into the secondmodule. For example, the system 100 can: pair a first plant slot in thefirst module nearest the robotic manipulator with a last plant slot inthe second module further from the robotic manipulator; pair a secondplant slot in the first module adjacent the first plant slot with asecond-to-last plant slot adjacent the last slot in the second module; .. . and pair a last plant slot in the first module furthest from therobotic manipulator with a first plant slot in the second module nearestthe robotic manipulator.

Generally, the robotic manipulator retrieves plants in sequence along arow of plant slots from one end of the first module to the opposite endof the first module from a row of plant slots nearest the roboticmanipulator to a row of plant slots furthest from the roboticmanipulator. Similarly, the robotic manipulator can place plants insequence into the second module, such as from a far end of the secondmodule to a near end of the second module from a row of plant slotsfurthest from the robotic manipulator to a row of plant slots nearestthe robotic manipulator. Therefore, once the second module is placed(and locked in position) at the transfer station, the roboticmanipulator can: scan the second module, such as described above;identify fiducials and/or open plant slots on the second module in theoptical scan; and module map a predefined loading path—corresponding toa type of the second module—onto these fiducials and/or plant slots onthe second module. For example, the robotic manipulator (e.g., a controlmodule coupled to or integrated into the robotic manipulator or othercomputing device within the system 100) can implement computer visiontechniques—such as edge detection, object recognition, patternrecognition, optical character recognition, template matching etc.—toidentify optical fiducials patterned across hydroponic trays in thesecond module and/or to directly identify plant slots in thesehydroponic trays, as shown in FIG. 1. In this example, the module mapcan specify a starting plant slot, a starting row of plant slots, a filldirection for rows of plants in plant slots, or a plant slot fillschedule, etc. relative to optical fiducials and/or plant slot patternson modules of the finishing-type. The robotic manipulator (or othercomputer device within the system 100) can then align the module map tofiducials or plant slots identified on the second module and thenimplement a plant slot fill schedule or other fill definitions from themodule map to set an order for filling the second module and to identifya first plant slot to fill with a plant transferred from the firstmodule.

Alternatively, the robotic manipulator (or other computing device withinthe system 100) can apply preloaded plant slot filling rules to opticalfiducials, plant slots, and/or rows of plants in plant slots detected inthe optical scan of the second module and then identify a first plantslot in the second module to fill with a plant transferred from thefirst module and set an order for filling the second module accordingly.However, the system 100 can implement any other methods or techniques toidentify plant slots and to set a fill order for plant slots in thesecond module.

7. First Transfer Cycle

Block S140 of the method S100 recites, in response to the viabilityparameter exceeding the target value, navigating an end effector at anend of a robotic manipulator laterally toward a first plant; and BlockS140 of the method S100 recites navigating the end effector verticallyfrom a first plant slot to extract the first plant from the first plantslot. Generally, in Block S140, the robotic manipulator (visually)locates the first plant to remove from the first module and thenexecutes a robotic manipulator path to navigate the end effector of therobotic manipulator to a position horizontally adjacent the first plant,then into contact with the first plant, and then vertically upward toremove the first plant from the first plant slot.

7.1 Plant Retrieval Path

In one implementation, the system 100 (e.g., the robotic manipulator)can: implement computer vision techniques to detect one or more opticalfiducials in the field of view of the optical sensor on the roboticmanipulator (e.g., in the module-level optical scan recorded in BlockS120, as described above); register global motion of the end effector onthe robotic manipulator to these optical fiducials on the first module;and define an order for sequentially removing plants from plant slots inthe first module, such as based on a predefined plant transfer order forthe first module type of the first module, as shown in FIGS. 2A and 2B.

For example, the system 100 can access a generic plant retrieval paththat defines a sequence of waypoints that are spatially referenced to acenter of a generic plant slot and that are executable by the roboticmanipulator to navigate the end effector toward a generic plant at thegeneric plant slot, to engage the end effector to the generic plant atan engagement position, and to retract the end effector out of thegeneric plant slot. Once the system 100 determines locations (e.g.,centers) of plant slots in the first module, the system 100 can definean order for removing plants from the first module, including: row byrow from left to right along the robotic manipulator from a first row ofplant slots nearest to the robotic manipulator to a last row of plantsslots further from the robotic manipulator. The system 100 can then:locate the plant retrieval path relative to a first location of a firstplant slot in the first array of plant slots in the firstmodule—according to the plant removal order—to define a first plantretrieval path spatially referenced to the first slot and therefore tothe first plant in the first module; and repeat this process for eachother plant slot in the first module to generate an ordered set of plantretrieval paths, each spatially referenced to one corresponding slot—andtherefore to one corresponding plant—in the first module.

The system 100 can then autonomously drive the end effector on therobotic manipulator along the first plant retrieval path (e.g., alongeach waypoint defined by the first plant retrieval path relative to thefirst slot to engage the first plant located in the first plant slot.For example, when executing the first plant retrieval path, the roboticmanipulator can: navigate the end effector along a path verticallyoffset above the first module by a height greater than a maximumexpected height of plants at the growth stage of plants in the firstmodule; position the end effector above and laterally offset from thefirst plant slot in the first module; and then lower the end effectordownward toward the first module. (Alternatively, the roboticmanipulator can navigate the end effector from outside the bounds of thefirst module horizontally toward the first plant slot to avoid impactwith plants in the first module.) Once the end effector reaches a presetheight above the first module—such as a height referenced to the opticalfiducial on the first module or a preset global height above the floorof the facility and based on a known height of modules in thefacility—the system 100 can drive the end effector laterally toward thefirst slot to engage the end effector against a first cup currentlysupporting the first plant in the first slot in Block S140. For example,the robotic manipulator can navigate the end effector forward by apreset distance to engage the first cup or sample strain gauges in therobotic manipulator to determine when the robotic manipulator has comeinto contact with the first cup and then cease lateral motion of the endeffector accordingly in Block S140.

Once the end effector has engaged the first cup in Block S140, therobotic manipulator can navigate the end effector vertically upward fromthe first module according to the first plant retrieval path in BlockS140 in order to withdraw the first plant and its roots fully from thefirst plant slot, as shown in FIG. 1. For example, the roboticmanipulator can draw the end effector vertically upward from the firstplant slot by a distance exceeding a maximum expected length of roots ofplants of this type at the current growth stage of plants in the firstmodule. Alternatively, the robotic manipulator: can analyze imagesrecorded by an optical sensor integrated into the end effector orrecorded by a static optical sensor arranged nearby (e.g., in a base ofthe robotic manipulator) to identify roots extending below the firstplant once the first plant is extracted from the first plant slot; andcan confirm that these roots have been fully removed from the firstplant slot before moving the end effector laterally toward the secondmodule nearby.

However, the system 100 (e.g., the robotic manipulator) can implementany other method or technique to calculate a path for the end effectorto engage and remove the first plant from the first slot in the firstmodule and to execute this path in Block S140.

7.2 Plant-Specific Optical Scan by Robotic Manipulator

In one variation shown in FIGS. 2A and 2B, the system 100 also: collectsplant-level optical data of the first plant as the robotic manipulatornavigates the end effector into contact with the first plant; and thenextracts plant-specific metrics for the first plant from theseplant-level optical data. The system 100 can then determine whether tocull the first plant or transfer the first plant into the second modulebased on these plant-level optical metrics.

In one implementation, the generic plant retrieval path defines asequence of waypoints that, when executed by the robotic manipulator,navigates an optical sensor in the robotic manipulator (e.g., in the endeffector) about (e.g., encircling) a generic plant slot such thatmultiple sides of a generic plant in the generic plant slot fall withinthe field of view of the optical sensor as the end effector nears andeventually engages the generic plant. Therefore, by projecting thegeneric plant retrieval path onto the estimated location of the firstplant slot in the first module to define the first plant retrieval path,as described above, the system 100 can calculate a sequence of waypointsthat, when executed by the robotic manipulator, navigates the opticalsensor in the robotic manipulator about the first plant slot such thatmultiple sides of the first plant in the first plant slot fall withinthe field of view of the optical sensor as the end effector nears andeventually engages the first plant.

Throughout this first plant retrieval path, the system 100 can alsorecord multiple images of the first plant via the optical sensor in therobotic manipulator, such as when the end effector reaches each waypointin this sequence of waypoints referenced to the first plant slot. Forexample, the system 100 can: record the module-level optical scanthrough the optical sensor integrated in the robotic manipulator whenthe robotic manipulator is occupying the first scan position of thefirst module in Block S120, as described above; implement methods andtechniques described above to process the module-level optical scan inBlock S122 and to project the generic plant retrieval path onto theestimated location of the first plant slot in the first module;autonomously drive the end effector from its current position at thefirst scan position to each waypoint in the sequence of waypoints in thefirst plant retrieval path to engage the end effector to the first plantin Block S140; and record a set of images of the first plant via theoptical sensor during execution of the sequence of waypoints by therobotic manipulator in Block S160.

The system 100 can then extract a first viability parameter of the firstplant from the first set of images of the first plant in Block S162. Forexample, the system 100 can: compile the set of images of the firstplant into a 3-D representation of the first plant; and implementmethods and techniques similar to those described above to extract afirst viability parameter—such as representing a size, a color, afoliage density, and/or indicators of pest presence, etc.—of the firstplant from this 3-D representation of the first plant in Block S162.

In this variation, the system 100 can also: withhold the first plantfrom the second module (e.g., discard the first plant or place the firstplant in an alternate module, as described above) in Block S130 if thefirst viability parameter extracted from the representation of the firstplant fails to exceed a threshold value; or confirm viability of theplant and insert the first plant into a plant slot in the second arrayof plant slots in the second module accordingly in Block S170 if thefirst viability parameter of the first plant does exceed this thresholdvalue. Therefore, in this variation, the system 100 can collectadditional plant-specific, higher-resolution optical data of the firstplant as the robotic manipulator approaches the first plant, extract aviability of this first plant from these additional plant-specificoptical data, and then selectively transfer or cull the first plantaccordingly in Block S170.

In this variation, the system 100 can also store these additionalplant-specific optical data (e.g., the 3-D image or raw images of thefirst plant) in a database or other digital file associated with thefirst plant, as described above.

7.3 Plant-Specific Optical Scan by Optical Inspection Station

In a similar variation shown in FIG. 4, once the robotic manipulatorretrieves the first plant from the first plant slot in the first module,the system 100 can trigger the robotic manipulator to deposit the firstplant into an optical inspection station arranged on the transferstation, as described above. The optical inspection station cansubstantially enclose the first plant, consistently illuminate the firstplant, and thus record a high-resolution, repeatable plant-specificoptical scan (e.g., a3-D color image) of the first plant in Block S160.The system 100 can implement methods and techniques described above toextract a viability parameter of the first plant (e.g., based ongeometry, color, leaf density, etc.) of the first plant from thisplant-specific optical scan and selectively authorize the first plantfor transfer or flag the first plant accordingly in Block S162.

For example: the robotic manipulator can retrieve the first plant fromthe first plant slot in the first array of plant slots in the firstmodule and insert the first plant into the optical inspection stationarranged at the transfer station; the optical inspection station canthen record a 3-D image of the first plant; the system 100 can store the3-D image of the first plant in a database associated with the firstplant and extract a viability metric of the first plant from this 3-Dimage; and the robotic manipulator can then retrieve the first plantfrom the optical inspection station and transfer the first plant into alast plant slot—in the second array of plant slots—in the second module.

However, the system 100 can implement any other method or technique tocollect plant-specific optical data of the first plant in Block S160 andto extract relevant metrics specific to the first plant from theseplant-specific optical data in Block S162.

7.4 Weight

Another variation of the method S100 includes: Block S150, which recitesmeasuring a first weight of the first plant; and Block S172 whichrecites, in response to the first weight of the first plant fallingbelow a threshold weight, discarding the first plant. Generally, therobotic manipulator measures a weight (or mass) of the first plant inBlock S150, flags the first plant to be discarded if the weight of thefirst plant is less than a preset threshold weight (or mass) in BlockS172, and clears the first plant for transfer into the second module forthe next stage of plant growth if the weight of the first plant exceedsthe preset threshold weight (or mass).

In one implementation shown in FIG. 1, the robotic manipulator includesa set of (e.g., three) strain gauges arranged across three perpendicularaxes and interposed between the end effector and an adjacent arm segmentof the robotic manipulator (or between the end effector and jawsextending from the end effector). Prior to engaging the first plant inBlock S140, the robotic manipulator can pause its motion, sample the setof strain gauges, and store values read from the strain gauges as a tarevalue, thereby calibrating the set of strain gauges to subsequentlymeasure a weight of the first plant. Once the first plant is engaged bythe end effector in Block S140 and fully removed from the first plantslot in Block S140, the robotic manipulator can again sample the set ofstrain gauges and calculate a weight of the first plant based ondifferences between these new values read from the strain gauges and thetare values recorded prior to retrieval of the first plant.

In this implementation, after removing the first plant from the firstslot in Block S140, the robotic manipulator can read the strain gaugesimmediately and calculate a weight of the first plant accordingly fromthese data. The system 100 can also multiply this weight value by astatic or time-based wetness coefficient (e.g., a coefficient less than1.0 and a function of both the position of the first plant slot in thefirst module and an amount of time that has passed since watercirculation through the first module ceased) in order to correct thecalculated weight of the first plant for wetness or dampness of itsroots. Additionally or alternatively, once the first plant is removedfrom the first plant slot in Block S140, the robotic manipulator can:rapidly oscillate the end effector to shake water from the first plant'sroots into a collection canister below; activate a blower adjacent thefirst plant to blow water from the first plant's roots (and away fromthe first module), such as down or laterally into a collectioncanister); or pause its motion with the first plant over a collectioncanister as moisture drips from the first plant's roots prior tosampling the strain gauges in the robotic manipulator.

However, the robotic manipulator can include any other type of sensorarranged in any other location and configured to output a signalrepresentative of a weight of the first plant. The robotic manipulatorcan also implement any other methods or techniques to calibrate thesensor prior to retrieving the first plant and to interpret a signalread from the sensor as a weight (or mass) of the first plant.

The system 100 can then compare the weight of the first plant to apreset threshold weight (or representative value) assigned to a plant ofthis type at this stage of growth, as shown in FIG. 1. If the weight ofthe first plant is less than this preset threshold weight, the roboticmanipulator can implement methods and techniques described below toplace the first plant into a next open plant slot in a third module ofthe nursery-type. The system 100 can then assign an extended growduration (e.g., 48 hours) to the third module as a function of amagnitude difference between the weight of the first plant (and weightsof other plants placed in the third module) and the preset thresholdweight. Once the first module is emptied or once the third module isfilled with underweight plants from the first and other modules, thesystem 100 can dispatch the loader to return the third module to anassigned grow area within the facility, thereby providing the firstplant—which may be smaller than the majority of other plants in thefirst module—opportunity to mature to a size appropriate for transferinto a finishing-type module. Alternatively, if the weight of the firstplant is less than the preset threshold weight, the robotic manipulatorcan dispense the first plant into a loose discard canister nearby inBlock S172.

Therefore, the robotic manipulator can retrieve the first plant from thefirst plant slot in the first array of plant slots in the first modulein Block S140; oscillate the first plant to displace moisture from thefirst plant's roots; record a first weight of the first plant via aweight sensor coupled to the robotic manipulator (e.g., a strain gaugearranged in the end effector) in Block S150; withhold the first plantfrom the second module if the first weight of the first plant fails toreach a threshold weight in block S172; and insert the first plant intoa plant slot in the second module if the first weight of the first plantexceeds the threshold weight in Block S170.

However, if the weight of the first plant exceeds the preset thresholdweight, the system 100 can authorize the first plant for transfer intothe second module.

7.5 Root Alignment

In one variation, prior to placing the first plant into a next openplant slot in the second module (or in the third module), the roboticmanipulator can straighten or align the first plant's roots. Forexample, the robotic manipulator can oscillate the end effector along avertical axis in order to shake the first plant's roots into verticalalignment. In another example, the robotic manipulator can navigate theroots of the first plant into an electromechanical root alignmentmechanism and activate the electromechanical root alignment mechanism tostraighten the first plant's roots. In this example, theelectromechanical root alignment mechanism can include a vertical splitcylinder configured to close around roots of a plant to straighten itsroots and to then open to release the first plant. However, the roboticmanipulator can implement any other technique or interface with anyother device to straighten the first plant's roots prior to transfer (or“stuffing”) into an assigned plant slot in the second (or third) module.

7.6 Plant Slot Filling

Block S170 of the method S100 recites, in response to the firstviability parameter exceeding a target value, transferring the firstplant into a last plant slot in the second array of plant slots in thesecond module. Generally, in Block S170, the system 100 can autonomouslynavigate the end effector—and therefore the first plant—over a lastplant slot in the second array of plant slots in the second module andthen lower the end effector toward the second module to insert the firstplant into the last plant slot in the second module, as shown in FIGS.1, 2A, and 4

In one implementation, the system 100 implements methods and techniquessimilar to those described above to: record a second module-leveloptical scan of the second module; project a preexisting plant slot mapfor the module type of the second module onto one or more opticalfiducials detected in the second module-level optical scan to locateapproximate centers of each (empty) plant slot in the second module (ordetect the empty plant slots in the second module directly in the secondmodule-level optical scan); access a plant deposit order for insertingplants into a second module type of the second module; access a genericplant deposit path that defines a sequence of waypoints that arespatially referenced to a center of a generic plant slot and that areexecutable by the robotic manipulator to navigate the end effectortoward the generic plant slot, to insert a generic plant in the endeffector into the generic plant slot, to disengage the end effector fromthe generic plant, and to retract the end effector away from the genericplant slot; locate the plant deposit path relative to a last location ofa last plant slot in the second array of plant slots in the secondmodule—according to a plant deposit order—to define a first plantdeposit path spatially referenced to the last slot in the second module;and repeat this process for each other plant slot in the second moduleto generate an ordered set of plant deposit paths, each spatiallyreferenced to one corresponding slot in the second module.

Therefore, the system 100 can locate a plant deposit path relative to alast location of a last plant slot in the second array of plant slots inthe second module to define a first plant deposit path. Followingexecution of the first plant retrieval path to engage the first plant,and if the first plant is confirmed to have passed each viability checkdescribed above (and once roots of the first plant have be straightened,as described above), the robotic manipulator can autonomously drive theend effector on the robotic manipulator along the first plant depositpath to insert the first plant into the last plant slot in the secondmodule.

For example, while executing the first plant deposit path (e.g., fromthe terminus of the first plant retrieval path, the weigh position, orthe root alignment position), the robotic manipulator can maintain thefirst plant in an upright orientation and offset vertically above thesecond module by a distance related to (e.g., greater than) a maximumanticipated length of roots extending downwardly from plants of the sametype at the same stage of growth. Once the first plant is arrangedvertically over and is substantially coaxial with its assigned plantslot in the second module, the robotic manipulator can lower the endeffector to insert the first plant into the last plant slot in thesecond module in Block S170, as shown in FIG. 1. Once the plant cupretaining the first plant passes into the last plant slot in the secondmodule by a sufficient distance (e.g., at least 60% of the insert heightof the plant cup), once the end effector reaches a target height abovethe second module, or once the end effector reaches a preset globalheight above the floor of the facility based on a known height ofmodules in the facility, the robotic manipulator can retract the endeffector horizontally away from the first plant—such as by a distanceexceeding a maximum anticipated radius of plants of the same type at thesame stage of growth—thereby disengaging the end effector from the plantcup and releasing the first plant into the second module.(Alternatively, the robotic manipulator can estimate the radius of thefirst plant from a third photographic image of the top of the firstplant recorded by the camera in the end effector prior to removing thefirst plant from the first module and retract the end effector from thefirst plant by at least this distance after placement into a plant slotin the second module and before executing a vertical path back towardthe first module to retrieve a next plant.) The robotic manipulator canthen move the end effector horizontally and/or vertically back towardthe first module to retrieve a next plant from the first module.

However, the system 100 can implement any other method or technique todeposit the first plant into its assigned plant slot in the secondmodule in Block S170.

7.7 Plant Discard

However, if the first plant fails to meet one or more viabilitychecks—such as a size, color, weight, or pest presence check based on amodule-level or plant specific optical scan—the system 100 can flag thefirst plant, as shown in FIGS. 1 and 2A. If the system 100 thus flagsthe first plant, the system 100 can trigger the robotic manipulator todeposit the first plant into a composting bin or discard bin located atthe transfer station in Block S172. Alternatively, the system 100 canimplement methods and techniques described above to dispatch the loaderto deliver a fourth module substantially similar to the first module(e.g., characterized by a plant slot density similar to that of thefirst module) to the transfer station, such as adjacent the first andsecond modules; if the system 100 thus flags the first plant, the system100 can thus trigger the robotic manipulator to insert the first plantinto a next-available plant slot in an array of plant slots in thefourth module. In this example, the system 100 can: dispatch the loaderto deliver the fourth module to a grow location in the facility once thefourth module is (sufficiently) full of plants; and later repeat theforegoing processes to call the fourth module back to the transferstation and to transfer plants out of the fourth module at a future timeat which plants in the fourth module are anticipated to meet theseviability checks.

7.8 Canned Transfer Cycles

Block S144 of the method S100 recites navigating the end effectorlaterally to a second plant, in the group of plants, arranged in asecond plant slot in the first array of plant slots adjacent the firstplant slot. Generally, once the system 100 transfers the first plantfrom the first module into a next open plant slot in the second module(or in the third module or in a loose discard bucket), the system 100can repeat the foregoing methods and techniques to transfer a secondplant from a second plant slot in the first module to a second-to-lastplant slot in the second module—according to removal and deposit ordersfor the first and second modules—by executing a second plant retrievalpath and corresponding plant deposit path calculated as described abovein Block S144, as shown in FIGS. 1, 2A, and 2B. The system 100 canrepeat this process for each subsequent plant in the first module untilthe first module is empty. For example, the robotic manipulator canretrieve plants in sequence: along a first row of plant slots nearestthe robotic manipulator from a first end of the first module to thesecond end of the first module; then along a second row of plant slotsadjacent the first row opposite the robotic manipulator from the firstend of the first module to the second end of the first module; etc.until the first module is empty.

In the example described above in which the system 100 aligns a genericplant retrieval path to a first plant slot in the first module andaligns a generic plant deposit path to a last plant slot in the secondmodule, the system 100 can repeat this process in preparation fortransferring a second plant out of the first module once the first plantis moved to the second module. In particular, once the roboticmanipulator moves the first plant to the last plant slot in the secondmodule, the system 100 can: locate the generic plant retrieval pathrelative to a second location of a second plant slot—adjacent the firstplant slot and exposed to the robotic manipulator by removal of thefirst plant—in the first array of plant slots in the first module todefine a second plant retrieval path; locate the generic plant depositpath relative to a second-to-last location of a second-to-last plantslot in the second array of plant slots in the second module to define asecond plant deposit path; autonomously drive the end effector on therobotic manipulator along the second plant retrieval path to engage asecond plant located in the second plant slot; autonomously drive theend effector on the robotic manipulator along the second plant depositpath to insert the second plant into the second-to-last plant slot inthe second module following execution of the second plant retrieval pathto engage the end effector to the second plant; and then repeat thisprocess until the first module is emptied of plants or until the secondmodule is filled with plants.

8. Second Module Dispatch

In one variation shown in FIG. 2A, if the first module is not yet empty,but the second module is nearing capacity, the system 100 can dispatchthe loader to deliver a third module—of the finishing-type—to thetransfer station and then trigger the robotic manipulator to transferremaining plants in the first module into plant slots in a third moduleonce the second module is full. Generally, because the module of thenursery-type exhibits a higher density of plant slots than the secondmodule of the finishing-type, as described above, the system can triggerthe loader to sequentially deliver multiple modules of thefinishing-type to the transfer station while the first module isunloaded, and the robotic manipulator can distribute plants from a firstmodule of the first type into multiple modules of the finishing-typeuntil the first module is empty.

In one implementation, as the second module nears capacity, the system100 can call the loader: to retrieve a third empty module of thefinishing-type, such as from a harvest station or from a cleaningstation in the facility; to exchange the second full module with thethird empty module; and to return the second module to an assignedlocation within the facility, such as a finishing area within thefacility. In this implementation, once the third module is placed (andlocked in position) at the transfer station, the robotic manipulatorcan: scan the third module; identify fiducials and/or open plant slotson the third module in this optical scan image of the third module; mapa predefined loading path onto the optical scan of the third module; andidentify a first plant slot in the third module specified as a startingpoint by the predefined loading path, such as described above. Therobotic manipulator can then resume canned transfer cycles tosequentially transfer plants in the first module (sequentially from thecurrent plant slot to the last plant slot in the first module) into thethird module (sequentially from the last plant slot to the first plantslot in the third module) according to methods and techniques describedabove.

Therefore, in response to filling each plant slot in the second array ofplant slots in the second module with a plant in the first subset ofplants in the first module, the system 100 can dispatch the loader toautonomously deliver the second module from the transfer station to asecond grow location within the agricultural facility. Furthermore, inresponse to transferring a last plant in the first set of plants out ofthe first module, the system 100 can: dispatch the loader toautonomously deliver the first module to a cleaning station within theagricultural facility in preparation for reloading the first module witha new set of plants (e.g., sprouts).

The system 100 can also implement timers to selectively triggerretrieval of the first module from its assigned grow location fortransfer of the first set of plants to a second module characterized bya lower density of plant slots. For example, the system 100 can:dispatch the loader to autonomously deliver the first module to thefirst grow location at a first time in response to placement of thefirst set of plants—at an early-heading or “seedling” growth stage—intothe first module; and then dispatch the loader to autonomously deliverthe first module from the first grow location to the transfer station ata second time succeeding the first time by a predefined mid-heading growduration (e.g., four weeks) such that the first set of plants in thefirst module are (approximately) at a mid-heading growth stage upondelivery to the transfer station. The system 100 can then implement theforegoing methods and techniques to transfer a first subset of thesemid-heading growth stage plants from the first module to a secondmodule. Furthermore, the system 100 can dispatch the loader toautonomously retrieve the second module from a second grow location inthe facility at a third time succeeding the second time by a predefinedmature-heading grow duration (e.g., four weeks) such that the firstsubset of plants in the second module are (approximately) at amature-heading growth stage upon delivery to the transfer station. Thesystem 100 can then implement the foregoing methods and techniques totransfer this first subset of plants—now mature—out of the second moduleand to place these plants in a bin or on a conveyor, etc. in preparationfor trimming, packaging, and shipping these plants out of the facility.

9. Module Pre-Scheduling

In another variation, the system 100 calls the loader to deliver modulesto the transfer station, triggers the robotic manipulator to scan thesemodules, and extracts plant size, quality, and/or pest pressure datafrom these scans, such as during high-bandwidth/low-demand periods atthe transfer station. In particular, the system 100 can implement thisprocess when the robotic manipulator at the transfer station isexperiencing low load in order to rank or prioritize modules containingplants ready for transfer to modules of a next type and/or to detectpests more rapidly (e.g., in less than a two-week period between whenplants are loaded into and then removed from a module). For example,plants in modules in different locations throughout the facility maygrow at different rates due to varying amounts of sunlight exposure; thesystem 100 can therefore period-check growth of plants in modulesthroughout the facility and rank groups of plants in these modules fortransfer to modules of next types accordingly in order to achievegreater transfer efficiency (e.g., transferred plants per unit time) atthe transfer station during lower-bandwidth/higher-demand periods.

In one implementation, the system 100 implements methods and techniquesdescribed above to dispatch the loader to sequentially deliver—to thetransfer station—a group of modules corresponding to a particular growstage, such as a group of modules containing the oldest set of plants inthis particular grow stage and flagged for impending transfer (e.g.,within the subsequent 24 or 48 hours). For each module in this group,the system 100 can: trigger the robotic manipulator to scan the module;calculate a quantitative value representing a characteristic of plantsin the module, such as a quantitative value representing an averagecolor value, total fill factor, average size, or average shape, etc. ofplants in the module from this optical scan; store the quantitativevalue with an identifier of the module in a database; and then triggerthe loader to return the module—substantially unchanged—to its previouslocation within the facility. Once each module in this group of modulesis thus scanned and its contents represented by a quantitative value,the system 100 can rank modules in this group by their quantitativevalues, such as by prioritizing modules with greatest fill factors,greatest color intensities in the green color channel, and/or largestplant sizes, etc. (The system 100 can also set a target transfer timeand date or adjust a transfer schedule for these modules according totheir quantitative values.)

During a transfer period in which plants in this group of modules arescheduled for transfer to later-stage modules or packaged fordistribution, the system 100 can sequentially call modules in this groupin order of priority. Once a module in this group is delivered to thetransfer station, the system 100 can implement methods and techniquesdescribed above to: re-scan the module; confirm that optical parametersof plants in the module—extracted from the optical scan—meet variouspreset parameters; sequentially remove plants from the module; checkthat each removed plant passes a weight check; and then transfer plantsfrom this module to a later-stage module or into packaging. The system100 can repeat this process for each module in the group—by rank orpriority—until less than a threshold proportion (e.g., 80%) of plants inthe module pass optical checks and/or weight checks, at which point thesystem 100 can cease calls to the loader for remaining modules in thisgroup and mark these remaining modules for transfer at a later date. Forexample, the system 100 can then insert these remaining modules into anext group of modules and repeat the foregoing methods and techniques totest this next group of modules on a subsequent day.

Therefore, during periods in which the loader and the roboticmanipulator have excess bandwidth, the system 100 can: call the loaderto deliver modules to the robotic manipulator for scanning; quantify orqualify a growth state of plants in each of these modules based onoptical scans of these modules; and then set a schedule for transferringor harvesting plants from these modules accordingly. During subsequentperiods in which plants in these modules are ready for transfer by theloader and/or the robotic manipulator have less bandwidth for moving andscanning modules, the system 100 can call these modules in order of theschedule such that the highest-priority modules (e.g., modules mostlikely to contain the largest plants, most fully-grown plants, and/orplants most ready for transfer) are moved to the robotic manipulatorfirst, thereby yielding greater optical scan and transfer cycleefficiency at the robotic manipulator.

The system 100 s and methods described herein can be embodied and/orimplemented at least in part as a machine configured to receive acomputer-readable medium storing computer-readable instructions. Theinstructions can be executed by computer-executable componentsintegrated with the application, applet, host, server, network, website,communication service, communication interface,hardware/firmware/software elements of a user computer or mobile device,wristband, smartphone, or any suitable combination thereof. Othersystems and methods of the embodiment can be embodied and/or implementedat least in part as a machine configured to receive a computer-readablemedium storing computer-readable instructions. The instructions can beexecuted by computer-executable components integrated bycomputer-executable components integrated with apparatuses and networksof the type described above. The computer-readable medium can be storedon any suitable computer readable media such as RAMs, ROMs, flashmemory, EEPROMs, optical devices (CD or DVD), hard drives, floppydrives, or any suitable device. The computer-executable component can bea processor but any suitable dedicated hardware device can(alternatively or additionally) execute the instructions.

As a person skilled in the art will recognize from the previous detaileddescription and from the figures and claims, modifications and changescan be made to the embodiments of the invention without departing fromthe scope of this invention as defined in the following claims.

1. A method for automating transfer of plants within an agriculturalfacility, the method comprising: receiving, at a transfer station withinthe agricultural facility: a first module defining a first array ofplant slots at a first density and loaded with a first set of plants ata first growth stage; a second module defining a second array of plantslots at a second density less than the first density; for each plant ina first subset of plants in the first set of plants: recording a scan ofthe plant; calculating a viability parameter of the plant based onfeatures detected in the scan; and in response to the viabilityparameter falling within a target viability range, triggering a roboticmanipulator at the transfer station to transfer the plant from the firstmodule into a plant slot in the second array of plant slots in thesecond module.
 2. The method of claim 1, further comprising: receiving,at the transfer station, a third module defining a third array of plantslots at the second density; and in response to transferring the firstsubset of plants out of the first module, for each plant in a secondsubset of plants in the first set of plants: recording a scan of theplant; calculating a viability parameter of the plant based on featuresdetected in the scan; and in response to the viability parameter fallingwithin the target viability range, triggering the robotic manipulator totransfer the plant from the first module into a plant slot in the thirdarray of plant slots in the third module.
 3. The method of claim 2,wherein receiving the third module comprises receiving the third modulein place of the second module at the transfer station in response totransfer of the first subset of plants from the first module into thesecond array of slots in the second module.
 4. The method of claim 1,wherein recording a scan of a plant and calculating a viabilityparameter of the plant for each plant in the first subset of plants inthe first set of plants comprises: recording the scan comprising amodule-level scan of the first module; for each plant in the firstsubset of plants in the first set of plants: detecting the plant in aregion of the module-level scan of the first module; extracting a set offeatures of the plant from the region of the module-level scan; andcalculating the viability parameter of the plant based on the set offeatures extracted from the module-level scan.
 5. The method of claim 1,further comprising: recording a module-level scan of the first module;calculating a probability of pest presence in the first module based onfeatures detected in the module-level scan; and authorizing transfer ofthe first subset of plants from the first module into the second modulein response to probability of pest presence in the first module fallingbelow a maximum probability of pest presence.
 6. The method of claim 1,further comprising, for each plant in the first subset of plants in thefirst set of plants: in response to a viability parameter of the plantfalling outside of the target viability range, triggering the roboticmanipulator to transfer the plant from the first module into a discardbin proximal the transfer station.
 7. The method of claim 1, furthercomprising: receiving, at the transfer station, a third module defininga third array of plant slots at the first density; and for each plant inthe first subset of plants in the first set of plants: in response to aviability parameter of the plant falling outside of the target viabilityrange, triggering the robotic manipulator to transfer the plant from thefirst module into a plant slot in the third array of plant slots in thethird module.
 8. The method of claim 1: wherein calculating a viabilityparameter of each plant in the first subset of plants in the first setof plants comprises, for each plant in the first subset of plantsoccupying the first module: detecting a region in a scan of the plantdepicting foliage; estimating a size of the plant based on the regiondetected in the scan; and calculating a viability parameter of the plantbased on the size of the plant; and further comprising, for each plantin the first subset of plants in the first module: in response to aviability parameter of the plant falling outside of the target viabilityrange defining a minimum plant size, rejecting transfer of the plantfrom the first module into the second module.
 9. The method of claim 1,wherein recording a scan of a plant for each plant in the first subsetof plants comprises, for each plant in the first subset of plants:navigating an end effector on the robotic manipulator toward a slot, inthe first set of slots, occupied by the plant; and recording the scan ofthe plant via an optical sensor coupled to the end effector.
 10. Themethod of claim 9, wherein recording a scan of a plant for each plant inthe first subset of plants comprises, for each plant in the first subsetof plants: navigating the end effector along a path proximal a slot, inthe first set of slots, occupied by the plant; recording a sequence ofoptical images as the end effector traverses the path; and compiling thesequence of optical images into a scan defining a three-dimensionalrepresentation of the plant.
 11. The method of claim 1, furthercomprising: dispatching a loader to autonomously deliver the firstmodule from a first grow location within the agricultural facility tothe transfer station; dispatching the loader to autonomously deliver thesecond module to the transfer station, the second array of plant slotsin the second module empty of plants; and in response to filling thesecond array of plant slots in the second module with the first subsetof plants from the first module, dispatching the loader to autonomouslydeliver the second module to a second grow location within theagricultural facility.
 12. A method for automating transfer of plantswithin an agricultural facility, the method comprising: dispatching aloader to autonomously deliver a first module from a first grow locationwithin the agricultural facility to a transfer station, the first moduledefining a first array of plant slots at a first density and loaded witha first set of plants at a first growth stage; dispatching the loader toautonomously deliver a second module to the transfer station, the secondmodule defining a second array of plant slots at a second density lessthan the first density; dispatching the loader to autonomously deliver athird module to the transfer station, the third module defining a thirdarray of plant slots at the second density; triggering a roboticmanipulator at the transfer station to transfer a first subset ofplants, in the first set of plants in the first module, from the firstmodule into the second array of plant slots in the second module; and inresponse to transfer of the first subset of plants into the secondmodule: dispatching the loader to autonomously deliver the second modulefrom the transfer station to a second grow location within theagricultural facility; and triggering the robotic manipulator totransfer a second subset of plants, in the first set of plants in thefirst module, from the first module into the third array of plant slotsin the third module.
 13. The method of claim 12: wherein dispatching theloader to autonomously deliver the second module to the transfer stationcomprises dispatching the loader to autonomously deliver the secondmodule, empty of plants, to the transfer station; and whereindispatching the loader to autonomously deliver the third module to thetransfer station comprises dispatching the loader to autonomously:deliver the third module, empty of plants, to the transfer station; andreplace the second module with the third module at the transfer stationin response to transfer of the first subset of plants into the secondmodule.
 14. The method of claim 12: wherein dispatching the loader toautonomously deliver the first module from the first grow location tothe transfer station comprises dispatching the loader to autonomouslydeliver the first module from the first grow location, associated with afirst light intensity for plants at the first growth stage, to thetransfer station; and wherein dispatching the loader to autonomouslydeliver the second module from the transfer station to the second growlocation comprises dispatching the loader to autonomously deliver thesecond module from the transfer station to the second grow locationassociated with a second light intensity for plants at a second growthstage, the second light intensity different from the first lightintensity.
 15. The method of claim 12: wherein dispatching the loader toautonomously deliver the first module from the first grow location tothe transfer station comprises dispatching the loader to autonomouslydeliver the first module from the first grow location, assigned tomodules containing plants within the first growth stage, to the transferstation; and wherein dispatching the loader to autonomously deliver thesecond module from the transfer station to the second grow locationcomprises dispatching the loader to autonomously deliver the secondmodule from the transfer station to the second grow location assigned tomodules containing plants within a second growth stage succeeding thefirst growth stage.
 16. The method of claim 12: further comprising, foreach plant in the first subset of plants in the set of plants in thefirst module: recording a scan of the plant; and calculating a viabilityparameter of the plant based on features detected in the scan; andwherein triggering the robotic manipulator to transfer the first subsetof plants from the first module into the second array of plant slots inthe second module comprises, for each plant in the first subset ofplants in the set of plants in the first module: in response to aviability parameter of the plant falling within a target viabilityrange, triggering the robotic manipulator to transfer the plant from thefirst module into a plant slot in the second array of plant slots in thesecond module.
 17. The method of claim 16, further comprising, for eachplant in the first subset of plants in the first set of plants in thefirst module: in response to a viability parameter of the plant fallingoutside of the target viability range, triggering the roboticmanipulator to transfer the plant from the first module into a discardbin proximal the transfer station.
 18. The method of claim 12: furthercomprising dispatching the loader to autonomously deliver the firstmodule to the first grow location at a first time following placement ofthe first set of plants, at an early-heading growth stage, into thefirst module; wherein dispatching the loader to autonomously deliver thefirst module from the first grow location to the transfer stationcomprises dispatching the loader to autonomously deliver the firstmodule from the first grow location to the transfer station at a secondtime succeeding the first time by a predefined mid-heading growduration, the first set of plants in the first module approximating amid-heading growth stage at the second time; and further comprisingdispatching the loader to autonomously retrieve the second module fromthe second grow location at a third time for removal of the first subsetof plants from the second array of plant slots in the second module, thethird time succeeding the second time by a predefined mature-headinggrow duration, the first subset of plants in the second moduleapproximating a mature-heading growth stage at the third time.
 19. Themethod of claim 12, wherein dispatching the loader to autonomouslydeliver the first module from the first grow location to the transferstation comprises: dispatching the loader to autonomously navigate tothe first grow location occupied by the first module; accessing amodule-level scan of the first module recorded by the loader followingarrival of the loader at the first grow location; extracting a set offeatures from the module-level scan; calculating a viability parameterof the first set of plants occupying the first module based on the setof features; and triggering the loader to return the first module to thetransfer station in response to the viability parameter of the first setof plants exceeding a threshold viability.
 20. The method of claim 12,wherein triggering the robotic manipulator to transfer the first subsetof plants from the first module into the second array of plant slots inthe second module comprises: detecting a first optical fiducial on thefirst module in a field of view of an optical sensor coupled to therobotic manipulator; estimating locations of plants slots in the firstarray of plant slots in the first module based on the first opticalfiducial and a stored plant slot layout of a first module type of thefirst module; locating a predefined plant retrieval path relative to afirst location of a first plant slot in the first array of plant slotsin the first module to define a first plant retrieval path; autonomouslydriving an end effector on the robotic manipulator along the first plantretrieval path to engage a first plant, in the first subset of plants,occupying the first plant slot; and autonomously retracting the endeffector from the first plant slot to remove the first plant from thefirst module.